Pub Date : 2011-06-26DOI: 10.1109/ICMIC.2011.5973748
Jin Guo, Ji-feng Zhang, Yanlong Zhao
This paper studies the adaptive tracking control for systems with quantized output observations and one unknown parameter. A projection algorithm is proposed for parameter identification, based on which an adaptive control law is designed via the certainty equivalence principle. By use of the conditional expectation of the quantized observation with respect to the estimates, it is shown that the identification algorithm is both almost surely and mean square convergent, the closed-loop system is stable, and the adaptive tracking control is asymptotically optimal.
{"title":"Adaptive tracking control with quantized output observations and single unknown parameter","authors":"Jin Guo, Ji-feng Zhang, Yanlong Zhao","doi":"10.1109/ICMIC.2011.5973748","DOIUrl":"https://doi.org/10.1109/ICMIC.2011.5973748","url":null,"abstract":"This paper studies the adaptive tracking control for systems with quantized output observations and one unknown parameter. A projection algorithm is proposed for parameter identification, based on which an adaptive control law is designed via the certainty equivalence principle. By use of the conditional expectation of the quantized observation with respect to the estimates, it is shown that the identification algorithm is both almost surely and mean square convergent, the closed-loop system is stable, and the adaptive tracking control is asymptotically optimal.","PeriodicalId":210380,"journal":{"name":"Proceedings of 2011 International Conference on Modelling, Identification and Control","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133916755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The icing of overhead transmission lines is the main problem for the safety of power grid, It is necessary to establish the model of icing load prediction on overhead transmission lines. The prediction model utilizes the ambient temperature, humidity, wind speed, wind direction, sunlight and air pressure as training data of input, the icing load is the output of prediction model based on Support Vector Machine (SVM). According to the results of simulation, this model is available to the prediction of icing load, even in different process of icing in the same transmission line during a short time. So it is helpful for preventing the disaster of power grid and reducing of economic losses.
{"title":"Icing load prediction for overhead power lines based on SVM","authors":"Qi-mao Li, Peng Li, Qing Zhang, Wenping Ren, M. Cao, Shangfei Gao","doi":"10.1109/ICMIC.2011.5973684","DOIUrl":"https://doi.org/10.1109/ICMIC.2011.5973684","url":null,"abstract":"The icing of overhead transmission lines is the main problem for the safety of power grid, It is necessary to establish the model of icing load prediction on overhead transmission lines. The prediction model utilizes the ambient temperature, humidity, wind speed, wind direction, sunlight and air pressure as training data of input, the icing load is the output of prediction model based on Support Vector Machine (SVM). According to the results of simulation, this model is available to the prediction of icing load, even in different process of icing in the same transmission line during a short time. So it is helpful for preventing the disaster of power grid and reducing of economic losses.","PeriodicalId":210380,"journal":{"name":"Proceedings of 2011 International Conference on Modelling, Identification and Control","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133328897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-06-26DOI: 10.1109/ICMIC.2011.5973761
Li Wen, G. Peng, Chen Ying-wu, Li Ju-fang
With the development of remote sensing technology, remote sensing data frequency-intensive has received and processed, the demand of remote sensing applications has kept an increasing growth. The management and planning for multi-source remote sensing data processing became very complicated with the evolution of remote sensed application requests. The way of effect management and scheduling can improve utility of processing resources and sufficiently exert abilities of remote sensing processing center. Based on the multi-objective optimization characteristic of the problem, this paper presents the mathematical model of the problem. An ant colony optimization algorithm is proposed for solving this problem. At last, experiments results show the effectiveness of our approach compared with the results of heuristic algorithm and simulated annealing algorithm.
{"title":"Approach of remotely sensed data processing task scheduling problem based on ant colony optimization","authors":"Li Wen, G. Peng, Chen Ying-wu, Li Ju-fang","doi":"10.1109/ICMIC.2011.5973761","DOIUrl":"https://doi.org/10.1109/ICMIC.2011.5973761","url":null,"abstract":"With the development of remote sensing technology, remote sensing data frequency-intensive has received and processed, the demand of remote sensing applications has kept an increasing growth. The management and planning for multi-source remote sensing data processing became very complicated with the evolution of remote sensed application requests. The way of effect management and scheduling can improve utility of processing resources and sufficiently exert abilities of remote sensing processing center. Based on the multi-objective optimization characteristic of the problem, this paper presents the mathematical model of the problem. An ant colony optimization algorithm is proposed for solving this problem. At last, experiments results show the effectiveness of our approach compared with the results of heuristic algorithm and simulated annealing algorithm.","PeriodicalId":210380,"journal":{"name":"Proceedings of 2011 International Conference on Modelling, Identification and Control","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130081768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-06-26DOI: 10.1109/ICMIC.2011.5973704
Defeng Wu, Wan-Neng Yu, Zibin Yin
Artificial bee colony (ABC) algorithm is a simple, robust and population based stochastic optimization algorithm based on a particular intelligent behavior of honeybee swarms. Non-linear rational model has been one of the most popular non-linear autoregressive moving average with exogenous input (NARMAX) sub-model sets. In this study, an approach based on artificial bee colony algorithm for estimating the parameters of non-linear rational models is presented. The effectiveness of the ABCE algorithm is initially demonstrated by some simulation experiments.
{"title":"Parameter estimation of rational models based on artificial bee colony algorithm","authors":"Defeng Wu, Wan-Neng Yu, Zibin Yin","doi":"10.1109/ICMIC.2011.5973704","DOIUrl":"https://doi.org/10.1109/ICMIC.2011.5973704","url":null,"abstract":"Artificial bee colony (ABC) algorithm is a simple, robust and population based stochastic optimization algorithm based on a particular intelligent behavior of honeybee swarms. Non-linear rational model has been one of the most popular non-linear autoregressive moving average with exogenous input (NARMAX) sub-model sets. In this study, an approach based on artificial bee colony algorithm for estimating the parameters of non-linear rational models is presented. The effectiveness of the ABCE algorithm is initially demonstrated by some simulation experiments.","PeriodicalId":210380,"journal":{"name":"Proceedings of 2011 International Conference on Modelling, Identification and Control","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130125812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-06-26DOI: 10.1109/ICMIC.2011.5973718
He Huang, Yucheng Wei, Xiaofan Wang
Almost all existing social learning models assume that there is only one type of agents in the society in order to avoid identification problem. In this work, we assume that there are various types of agents according to the communities they locate in. We design the rule of weight adjustment and testify that the updating rule with weight adjustment ensures learning on the whole social network. Furthermore, we show that how convergence speed is influenced by two updating-relevant parameters, and present instruction on how to attain the optimal social learning efficiency.
{"title":"Social learning on networks with community structure","authors":"He Huang, Yucheng Wei, Xiaofan Wang","doi":"10.1109/ICMIC.2011.5973718","DOIUrl":"https://doi.org/10.1109/ICMIC.2011.5973718","url":null,"abstract":"Almost all existing social learning models assume that there is only one type of agents in the society in order to avoid identification problem. In this work, we assume that there are various types of agents according to the communities they locate in. We design the rule of weight adjustment and testify that the updating rule with weight adjustment ensures learning on the whole social network. Furthermore, we show that how convergence speed is influenced by two updating-relevant parameters, and present instruction on how to attain the optimal social learning efficiency.","PeriodicalId":210380,"journal":{"name":"Proceedings of 2011 International Conference on Modelling, Identification and Control","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130728085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-06-26DOI: 10.1109/ICMIC.2011.5973722
Y. Xiao, C. Zhang, X. Ge, J. N. Sun, X. Wang
In hard disk drives (HDDs), head skew error among multiple heads is pre-calibrated during manufacturing process. Due to environmental change or non-operating shock, additional head skew errors across stroke may be resulted in. In this paper, a reliable recalibration strategy of DC head skew error during servo startup is proposed, where a sector-dependent head-switching scheme for avoidance of wrong calibration is developed. Test results demonstrate its effectiveness to enhance drive performance post non-operating shock.
{"title":"Reliable recalibration of DC head skew in hard disk drives","authors":"Y. Xiao, C. Zhang, X. Ge, J. N. Sun, X. Wang","doi":"10.1109/ICMIC.2011.5973722","DOIUrl":"https://doi.org/10.1109/ICMIC.2011.5973722","url":null,"abstract":"In hard disk drives (HDDs), head skew error among multiple heads is pre-calibrated during manufacturing process. Due to environmental change or non-operating shock, additional head skew errors across stroke may be resulted in. In this paper, a reliable recalibration strategy of DC head skew error during servo startup is proposed, where a sector-dependent head-switching scheme for avoidance of wrong calibration is developed. Test results demonstrate its effectiveness to enhance drive performance post non-operating shock.","PeriodicalId":210380,"journal":{"name":"Proceedings of 2011 International Conference on Modelling, Identification and Control","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131250671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-06-26DOI: 10.1109/ICMIC.2011.5973770
Y. Jiang, Yuanyuan Zou, Y. Niu
In this paper, explicit model predictive control (MPC) schemes for discrete-time linear-invariant multi-rate systems with constraints on inputs and states are studied. The optimization problem of multi-rate predictive control systems can be formulated by solving a multiparametric linear program (mp-LP), and the explicit state feedback control laws are developed. Further, based on the closed-loop multi-rate piecewise affine (PWA) structure, stability analysis is presented by linear matrix inequality (LMI). The simulation results show the effectiveness of the explicit MPC for multi-rate system.
{"title":"Explicit MPC for multi-rate control systems","authors":"Y. Jiang, Yuanyuan Zou, Y. Niu","doi":"10.1109/ICMIC.2011.5973770","DOIUrl":"https://doi.org/10.1109/ICMIC.2011.5973770","url":null,"abstract":"In this paper, explicit model predictive control (MPC) schemes for discrete-time linear-invariant multi-rate systems with constraints on inputs and states are studied. The optimization problem of multi-rate predictive control systems can be formulated by solving a multiparametric linear program (mp-LP), and the explicit state feedback control laws are developed. Further, based on the closed-loop multi-rate piecewise affine (PWA) structure, stability analysis is presented by linear matrix inequality (LMI). The simulation results show the effectiveness of the explicit MPC for multi-rate system.","PeriodicalId":210380,"journal":{"name":"Proceedings of 2011 International Conference on Modelling, Identification and Control","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115770758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-06-26DOI: 10.1109/ICMIC.2011.5973716
Shaocheng Qu, Qinqin Wang, Li Wang
Studies on temporal statistics of human behavior not only contribute to a profound understanding of complexity of socio-economic system and human beings, but they are also crucial for better resource allocation and pricing plans for phone companies, to improve inventory and service allocation in both online and street retail. In recent years, some statistical research on human correspondence has proven that the inter-event time distribution satisfies a power law, but the judgment for scaling exponent is still controversial. In this paper, we collect communications data from Sui Gu and Van Gogh and find the inter-event time distribution fits a power law with exponent 1.5, which is in accordance with Barabási's conclusion. In addition, the inter-event time distribution about two men's letters for 5 consecutive years also follows Power-law distribution with the same exponent.
{"title":"The statistical research of human dynamics on correspondence","authors":"Shaocheng Qu, Qinqin Wang, Li Wang","doi":"10.1109/ICMIC.2011.5973716","DOIUrl":"https://doi.org/10.1109/ICMIC.2011.5973716","url":null,"abstract":"Studies on temporal statistics of human behavior not only contribute to a profound understanding of complexity of socio-economic system and human beings, but they are also crucial for better resource allocation and pricing plans for phone companies, to improve inventory and service allocation in both online and street retail. In recent years, some statistical research on human correspondence has proven that the inter-event time distribution satisfies a power law, but the judgment for scaling exponent is still controversial. In this paper, we collect communications data from Sui Gu and Van Gogh and find the inter-event time distribution fits a power law with exponent 1.5, which is in accordance with Barabási's conclusion. In addition, the inter-event time distribution about two men's letters for 5 consecutive years also follows Power-law distribution with the same exponent.","PeriodicalId":210380,"journal":{"name":"Proceedings of 2011 International Conference on Modelling, Identification and Control","volume":"168 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116164152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-06-26DOI: 10.1109/ICMIC.2011.5973736
Hai-Lin Liu, G. Tang, Shiyuan Han
This paper considers the optimal control problem of a class of linear time-varying systems with multiple time-delays. A novel design approach to the optimal control law is proposed. By constructing a new state vector, the original system model and the performance index are simplified to equivalent ones without time-delay. So the infinite dimension problem of optimal control for systems with time-delays is avoided. The optimal control law is found by solving a matrix differential equation instead of a two-point boundary value problem, Simulation results demonstrate the effectiveness of the optimal control approach.
{"title":"Optimal control for linear time-varying systems with multiple time-delays","authors":"Hai-Lin Liu, G. Tang, Shiyuan Han","doi":"10.1109/ICMIC.2011.5973736","DOIUrl":"https://doi.org/10.1109/ICMIC.2011.5973736","url":null,"abstract":"This paper considers the optimal control problem of a class of linear time-varying systems with multiple time-delays. A novel design approach to the optimal control law is proposed. By constructing a new state vector, the original system model and the performance index are simplified to equivalent ones without time-delay. So the infinite dimension problem of optimal control for systems with time-delays is avoided. The optimal control law is found by solving a matrix differential equation instead of a two-point boundary value problem, Simulation results demonstrate the effectiveness of the optimal control approach.","PeriodicalId":210380,"journal":{"name":"Proceedings of 2011 International Conference on Modelling, Identification and Control","volume":"4 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120940159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-06-26DOI: 10.1109/ICMIC.2011.5973674
A. Zhu-Feng, B. Zhu-WeiHua, C. Kong-XiangZhen, D. Peng-ji, E. Lin-BiHui
Based on the finite element analysis with centered finite difference, this paper focuses on the underwater explosives, and the response of outer side armor of the ship under its impact. Investigating the linear placed cartridge Dynamite Explosion on different positions at the same depth in the water in the course of the study. And got the local displacement of ship plate and local stress and strain increase with time changes, the study gives the relationship between certain amount of Local maximum displacement of the armored ship and center of the explosion to the ship's side. The results show that: ALE method is applicable to solve the explosion problem in the Solid-fluid coupling which can better simulate and forecast the structure response under the nonlinear dynamic of blast.
{"title":"Numerical simulation of local response of ship in underwater explosive shock","authors":"A. Zhu-Feng, B. Zhu-WeiHua, C. Kong-XiangZhen, D. Peng-ji, E. Lin-BiHui","doi":"10.1109/ICMIC.2011.5973674","DOIUrl":"https://doi.org/10.1109/ICMIC.2011.5973674","url":null,"abstract":"Based on the finite element analysis with centered finite difference, this paper focuses on the underwater explosives, and the response of outer side armor of the ship under its impact. Investigating the linear placed cartridge Dynamite Explosion on different positions at the same depth in the water in the course of the study. And got the local displacement of ship plate and local stress and strain increase with time changes, the study gives the relationship between certain amount of Local maximum displacement of the armored ship and center of the explosion to the ship's side. The results show that: ALE method is applicable to solve the explosion problem in the Solid-fluid coupling which can better simulate and forecast the structure response under the nonlinear dynamic of blast.","PeriodicalId":210380,"journal":{"name":"Proceedings of 2011 International Conference on Modelling, Identification and Control","volume":"180 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124517853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：